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Description: YCBCR彩色空間之下作KMEAN顏色分群-YCBCR for color space under the color clustering KMEAN
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Size: 1024 |
Author: LMDX |
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Description: K-mean 模式識別分析法使用k-mean作為分析方法-K-mean
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Size: 2048 |
Author: 陳偉 |
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Description: the attached file contains k means code using visual basic
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Size: 24576 |
Author: isra |
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Description: 各种聚类方法的matlab源代码，非常全-A variety of clustering methods matlab source code, a very wide
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Size: 2134016 |
Author: 吴立锋 |
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Description: 利用OpenCV,划分随机分布点集的K－均值算法-The use of OpenCV, divided randomly distributed point set of K-means algorithm
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Size: 3072 |
Author: 何璐 |
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Description: This file adds in matlab code algorithm
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Size: 1024 |
Author: ghazanfar |
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Description: 语音特征提取MFCC的源代码，用C++编写，调试过可以运行-Voice of the source code for MFCC feature extraction, using C++ write, debug, run-off
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Size: 2863104 |
Author: 小浩 |
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Description: KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.
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Size: 61440 |
Author: boliwang |
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Description: it is KMEANS algorit in speech
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Size: 2048 |
Author: m0stafa |
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Description: clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB
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Size: 135168 |
Author: danny |
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Description: k-mead 算法的C语言实现，有兴趣的朋友可以看看。-k-mead algorithm C-language implementation, interested friends can see.
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Size: 1024 |
Author: 黄小可 |
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Description: 以MFC为基础进行开发的一个图像搜索的软件，该软件能够在较快的时间内搜索出图片，内附测试图片-a image search written by VC++ that can use a target pic to search the siminal pics
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Size: 6410240 |
Author: yueyuanhui |
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Description: codes for kmean method
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Size: 30720 |
Author: Renuka |
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Description: Spatial registration of multidate or multisensor images is required for many applications in remote
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.-Spatial registration of multidate or multisensor images is required for many applications in remote
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.
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Size: 135168 |
Author: Hoang Duy |
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Description: 实现感知器算法以及Kmean算法进行模式识别-Perceptron Algorithm Implementation and Kmean pattern recognition algorithm
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Size: 2286592 |
Author: emily |
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Description: a clustering algorithm based on kmean clustering which uses the euclidean distance measure
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Size: 1024 |
Author: setareh |
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Description: test case used for kmean clustering. the test case includes a dataset for the purpose of examining the result of the clustering.
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Size: 1024 |
Author: setareh |
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Description: K-Means Algorithm implementation
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Size: 307200 |
Author: Adil |
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Description:
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Size: 9216 |
Author: xw |
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Description: a kmean clustering prog
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Size: 1024 |
Author: felan |
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